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Design of Neural Estimator for Non-Linear Interacting Process

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 85 - Number 2
Year of Publication: 2014
Authors:
F Fareeza
B. Rama Murthy
10.5120/14817-3045

F Fareeza and Rama B Murthy. Article: Design of Neural Estimator for Non-Linear Interacting Process. International Journal of Computer Applications 85(2):40-47, January 2014. Full text available. BibTeX

@article{key:article,
	author = {F Fareeza and B. Rama Murthy},
	title = {Article: Design of Neural Estimator for Non-Linear Interacting Process},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {85},
	number = {2},
	pages = {40-47},
	month = {January},
	note = {Full text available}
}

Abstract

Real processes often exhibit non-linear behavior; time variance and delay between input and output, having a vast amount of highly correlated data and this correlation need to be utilized in the design of estimator. In this work, an interacting non-linear (conical tank) is taken for study and a neural estimator is designed using Data driven approach. The neural network is developed in hardware on a customized Linux kernel and implemented using python language. The second order training algorithm is modified using a batch update strategy and this approach along with the hardware implementation reduces the estimator training period and makes it highly suited to online.

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